Rockstar

Rockstar is a platform that connects top talent with companies, helping individuals land roles that accelerate their careers. They focus on roles that offer competitive cash and the opportunity to impact the trajectory of the business.

Professional Services
1-10

Description

  • Design and implement machine learning models for AI-powered remediation that can identify, diagnose, and automatically resolve system issues.
  • Own the end-to-end AI/ML pipeline, including data collection, preprocessing, training, evaluation, and deployment.
  • Integrate AI solutions with the existing observability stack, including logs, metrics, and traces.
  • Rapidly prototype and iterate on approaches such as anomaly detection, root cause analysis, and LLM-based insights.
  • Collaborate with product, backend, and DevOps teams to align AI capabilities with user needs and infrastructure constraints.
  • Contribute to foundational architecture decisions and establish best practices for AI/ML across the company as an early technical hire.
  • Build systems that are reliable, scalable, and safe to run in production environments.
  • Stay current on advances in AI/ML and observability to help inform product direction.

Requirements

  • Experience building AI products, including relevant side projects.
  • Strong software engineering skills with proficiency in Python and TypeScript.
  • Systems knowledge with familiarity with observability tools such as Prometheus and OpenTelemetry.
  • Comfort working in a fast-paced, ambiguous environment with high ownership and limited structure.
  • Willingness to include a GitHub profile with the application.
  • Ability to work with large-scale data and systems processing around 1 petabyte of data per month.
  • Experience with observability or distributed systems is preferred.
  • Startup experience or experience operating in highly dynamic environments is preferred.

Benefits

  • Backed by top-tier investors including Y Combinator, 8VC, Fin Capital, Tokyo Black, and Guillermo Rauch.
  • Opportunity to work directly with a founder and CEO who previously built the company to 200 employees and raised $57M in venture funding.
  • High-growth environment with opportunities to learn quickly and work at scale.
  • Direct reward for high output.
  • Chance to build foundational AI infrastructure for a cutting-edge observability platform.

Interested in this position?

Apply directly on the company website

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